Data Engineer
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Role details
Tech stack
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Job description
- Collaborate with the analytics team to find reliable data solutions to meet the business
needs.
- Design and implement scalable ETL or ELT processes to support the business demand for
data.
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Perform data extraction, manipulation, and production from database tables.
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Build utilities, user-defined functions, and frameworks to better enable data flow patterns.
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Build and incorporate automated unit tests, participate in integration testing efforts.
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Work with teams to resolve operational & performance issues.
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Work with architecture/engineering leads and other teams to ensure quality solutions are
implemented, and engineering best practices are defined and adhered to.
Requirements
Development, and Business Intelligence; looking for candidates who are good communicators and
self-motivated. You will play a key role in building, maintaining, and operating integrations, * Passion for data and a deep desire to learn.
- Master’s Degree in Computer Science/Information Technology, Data Analytics/Data
Science, or related discipline.
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Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc)
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Experience with relational databases (SQL Server, Oracle, MySQL, etc.)
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Strong written and verbal communication skills.
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Ability to work both independently and as part of a team.
Benefits & conditions
$62,000.00 to $80,000.00 /year
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